Overview

Brought to you by YData

Dataset statistics

Number of variables	27
Number of observations	5000
Missing cells	3023
Missing cells (%)	2.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	3.2 MiB
Average record size in memory	664.8 B

Variable types

Categorical	12
Numeric	15

Alerts

`Log_Mileage` is highly overall correlated with `Mileage`	High correlation
`Log_Price` is highly overall correlated with `Price`	High correlation
`Mileage` is highly overall correlated with `Log_Mileage`	High correlation
`Price` is highly overall correlated with `Log_Price`	High correlation
`Modification` has 3023 (60.5%) missing values	Missing

Reproduction

Analysis started	2025-03-02 10:01:26.965986
Analysis finished	2025-03-02 10:02:07.268694
Duration	40.3 seconds
Software version	ydata-profiling vv4.12.2
Download configuration	config.json

Brand
Categorical

Distinct	10
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	275.1 KiB

Ferrari	533
Chevrolet	516
Aston Martin	513
Porsche	513
Bugatti	507
Other values (5)	2418

Length

Max length	12
Median length	11
Mean length	7.311
Min length	3

Characters and Unicode

Total characters	36555
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Nissan
2nd row	McLaren
3rd row	Chevrolet
4th row	Bugatti
5th row	Nissan

Common Values

Value	Count	Frequency (%)
Ferrari	533	10.7%
Chevrolet	516	10.3%
Aston Martin	513	10.3%
Porsche	513	10.3%
Bugatti	507	10.1%
BMW	496	9.9%
Ford	486	9.7%
McLaren	486	9.7%
Nissan	480	9.6%
Lamborghini	470	9.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ferrari	533	9.7%
chevrolet	516	9.4%
aston	513	9.3%
martin	513	9.3%
porsche	513	9.3%
bugatti	507	9.2%
bmw	496	9.0%
ford	486	8.8%
mclaren	486	8.8%
nissan	480	8.7%

Most occurring characters

Value	Count	Frequency (%)
r	4583	12.5%
a	2989	8.2%
i	2973	8.1%
e	2564	7.0%
t	2556	7.0%
o	2498	6.8%
n	2462	6.7%
s	1986	5.4%
h	1499	4.1%
M	1495	4.1%
Other values (17)	10950	30.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	29051	79.5%
Uppercase Letter	6991	19.1%
Space Separator	513	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	4583	15.8%
a	2989	10.3%
i	2973	10.2%
e	2564	8.8%
t	2556	8.8%
o	2498	8.6%
n	2462	8.5%
s	1986	6.8%
h	1499	5.2%
c	999	3.4%
Other values (7)	3942	13.6%

Uppercase Letter

Value	Count	Frequency (%)
M	1495	21.4%
F	1019	14.6%
B	1003	14.3%
L	956	13.7%
C	516	7.4%
A	513	7.3%
P	513	7.3%
W	496	7.1%
N	480	6.9%

Space Separator

Value	Count	Frequency (%)
	513	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	36042	98.6%
Common	513	1.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	4583	12.7%
a	2989	8.3%
i	2973	8.2%
e	2564	7.1%
t	2556	7.1%
o	2498	6.9%
n	2462	6.8%
s	1986	5.5%
h	1499	4.2%
M	1495	4.1%
Other values (16)	10437	29.0%

Common

Value	Count	Frequency (%)
	513	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36555	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	4583	12.5%
a	2989	8.2%
i	2973	8.1%
e	2564	7.0%
t	2556	7.0%
o	2498	6.8%
n	2462	6.7%
s	1986	5.4%
h	1499	4.1%
M	1495	4.1%
Other values (17)	10950	30.0%

Model
Categorical

Distinct	10
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	277.4 KiB

M4 Competition	538
GT-R	537
488 GTB	520
Huracan	515
DBS	508
Other values (5)	2382

Length

Max length	14
Median length	11
Mean length	7.7848
Min length	3

Characters and Unicode

Total characters	38924
Distinct characters	36
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	720S
2nd row	911 Turbo S
3rd row	M4 Competition
4th row	Chiron
5th row	Chiron

Common Values

Value	Count	Frequency (%)
M4 Competition	538	10.8%
GT-R	537	10.7%
488 GTB	520	10.4%
Huracan	515	10.3%
DBS	508	10.2%
Mustang GT	508	10.2%
720S	485	9.7%
911 Turbo S	483	9.7%
Chiron	455	9.1%
Corvette Z06	451	9.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
m4	538	6.7%
competition	538	6.7%
gt-r	537	6.7%
488	520	6.5%
gtb	520	6.5%
huracan	515	6.5%
dbs	508	6.4%
mustang	508	6.4%
gt	508	6.4%
720s	485	6.1%
Other values (6)	2806	35.1%

Most occurring characters

Value	Count	Frequency (%)
	2983	7.7%
t	2486	6.4%
o	2465	6.3%
T	2048	5.3%
n	2016	5.2%
r	1904	4.9%
G	1565	4.0%
a	1538	4.0%
i	1531	3.9%
u	1506	3.9%
Other values (26)	18882	48.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	18882	48.5%
Uppercase Letter	10618	27.3%
Decimal Number	5904	15.2%
Space Separator	2983	7.7%
Dash Punctuation	537	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	2486	13.2%
o	2465	13.1%
n	2016	10.7%
r	1904	10.1%
a	1538	8.1%
i	1531	8.1%
u	1506	8.0%
e	1440	7.6%
p	538	2.8%
m	538	2.8%
Other values (6)	2920	15.5%

Uppercase Letter

Value	Count	Frequency (%)
T	2048	19.3%
G	1565	14.7%
S	1476	13.9%
C	1444	13.6%
M	1046	9.9%
B	1028	9.7%
R	537	5.1%
H	515	4.9%
D	508	4.8%
Z	451	4.2%

Decimal Number

Value	Count	Frequency (%)
4	1058	17.9%
8	1040	17.6%
1	966	16.4%
0	936	15.9%
2	485	8.2%
7	485	8.2%
9	483	8.2%
6	451	7.6%

Space Separator

Value	Count	Frequency (%)
	2983	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	537	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	29500	75.8%
Common	9424	24.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	2486	8.4%
o	2465	8.4%
T	2048	6.9%
n	2016	6.8%
r	1904	6.5%
G	1565	5.3%
a	1538	5.2%
i	1531	5.2%
u	1506	5.1%
S	1476	5.0%
Other values (16)	10965	37.2%

Common

Value	Count	Frequency (%)
	2983	31.7%
4	1058	11.2%
8	1040	11.0%
1	966	10.3%
0	936	9.9%
-	537	5.7%
2	485	5.1%
7	485	5.1%
9	483	5.1%
6	451	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	38924	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2983	7.7%
t	2486	6.4%
o	2465	6.3%
T	2048	5.3%
n	2016	5.2%
r	1904	4.9%
G	1565	4.0%
a	1538	4.0%
i	1531	3.9%
u	1506	3.9%
Other values (26)	18882	48.5%

Year
Real number (ℝ)

Distinct	45
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2001.9048

Minimum	1980
Maximum	2024
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.2 KiB

Quantile statistics

Minimum	1980
5-th percentile	1982
Q1	1991
median	2002
Q3	2013
95-th percentile	2022
Maximum	2024
Range	44
Interquartile range (IQR)	22

Descriptive statistics

Standard deviation	12.873697
Coefficient of variation (CV)	0.0064307241
Kurtosis	-1.1704012
Mean	2001.9048
Median Absolute Deviation (MAD)	11
Skewness	0.037564837
Sum	10009524
Variance	165.73208
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
1993	131	2.6%
2023	131	2.6%
1994	129	2.6%
1996	127	2.5%
1992	126	2.5%
1995	123	2.5%
2007	122	2.4%
2001	121	2.4%
2002	120	2.4%
2006	120	2.4%
Other values (35)	3750	75.0%

Value	Count	Frequency (%)
1980	100	2.0%
1981	108	2.2%
1982	107	2.1%
1983	108	2.2%
1984	105	2.1%
1985	114	2.3%
1986	110	2.2%
1987	118	2.4%
1988	105	2.1%
1989	115	2.3%

Value	Count	Frequency (%)
2024	115	2.3%
2023	131	2.6%
2022	90	1.8%
2021	107	2.1%
2020	109	2.2%
2019	111	2.2%
2018	113	2.3%
2017	107	2.1%
2016	110	2.2%
2015	113	2.3%

Country
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	260.6 KiB

Asia	1677
Europe	1676
USA	1647

Length

Max length	6
Median length	4
Mean length	4.341
Min length	3

Characters and Unicode

Total characters	21705
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Asia
2nd row	Europe
3rd row	USA
4th row	Asia
5th row	Europe

Common Values

Value	Count	Frequency (%)
Asia	1677	33.5%
Europe	1676	33.5%
USA	1647	32.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
asia	1677	33.5%
europe	1676	33.5%
usa	1647	32.9%

Most occurring characters

Value	Count	Frequency (%)
A	3324	15.3%
s	1677	7.7%
i	1677	7.7%
a	1677	7.7%
E	1676	7.7%
u	1676	7.7%
r	1676	7.7%
o	1676	7.7%
p	1676	7.7%
e	1676	7.7%
Other values (2)	3294	15.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13411	61.8%
Uppercase Letter	8294	38.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	1677	12.5%
i	1677	12.5%
a	1677	12.5%
u	1676	12.5%
r	1676	12.5%
o	1676	12.5%
p	1676	12.5%
e	1676	12.5%

Uppercase Letter

Value	Count	Frequency (%)
A	3324	40.1%
E	1676	20.2%
U	1647	19.9%
S	1647	19.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	21705	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	3324	15.3%
s	1677	7.7%
i	1677	7.7%
a	1677	7.7%
E	1676	7.7%
u	1676	7.7%
r	1676	7.7%
o	1676	7.7%
p	1676	7.7%
e	1676	7.7%
Other values (2)	3294	15.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21705	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	3324	15.3%
s	1677	7.7%
i	1677	7.7%
a	1677	7.7%
E	1676	7.7%
u	1676	7.7%
r	1676	7.7%
o	1676	7.7%
p	1676	7.7%
e	1676	7.7%
Other values (2)	3294	15.2%

Condition
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	258.3 KiB

new	2559
used	1824
salvage	495
restored	122

Length

Max length	8
Median length	3
Mean length	3.8828
Min length	3

Characters and Unicode

Total characters	19414
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	used
2nd row	new
3rd row	new
4th row	used
5th row	new

Common Values

Value	Count	Frequency (%)
new	2559	51.2%
used	1824	36.5%
salvage	495	9.9%
restored	122	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2559	51.2%
used	1824	36.5%
salvage	495	9.9%
restored	122	2.4%

Most occurring characters

Value	Count	Frequency (%)
e	5122	26.4%
n	2559	13.2%
w	2559	13.2%
s	2441	12.6%
d	1946	10.0%
u	1824	9.4%
a	990	5.1%
l	495	2.5%
v	495	2.5%
g	495	2.5%
Other values (3)	488	2.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	19414	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	5122	26.4%
n	2559	13.2%
w	2559	13.2%
s	2441	12.6%
d	1946	10.0%
u	1824	9.4%
a	990	5.1%
l	495	2.5%
v	495	2.5%
g	495	2.5%
Other values (3)	488	2.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19414	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	5122	26.4%
n	2559	13.2%
w	2559	13.2%
s	2441	12.6%
d	1946	10.0%
u	1824	9.4%
a	990	5.1%
l	495	2.5%
v	495	2.5%
g	495	2.5%
Other values (3)	488	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19414	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	5122	26.4%
n	2559	13.2%
w	2559	13.2%
s	2441	12.6%
d	1946	10.0%
u	1824	9.4%
a	990	5.1%
l	495	2.5%
v	495	2.5%
g	495	2.5%
Other values (3)	488	2.5%

Engine_Size
Real number (ℝ)

Distinct	65
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.8287

Minimum	1.6
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.2 KiB

Quantile statistics

Minimum	1.6
5-th percentile	1.9
Q1	3.2
median	4.8
Q3	6.5
95-th percentile	7.7
Maximum	8
Range	6.4
Interquartile range (IQR)	3.3

Descriptive statistics

Standard deviation	1.8583533
Coefficient of variation (CV)	0.38485582
Kurtosis	-1.2222631
Mean	4.8287
Median Absolute Deviation (MAD)	1.6
Skewness	-0.0027822475
Sum	24143.5
Variance	3.453477
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.8	97	1.9%
6.7	97	1.9%
6.5	94	1.9%
7.3	93	1.9%
6.1	92	1.8%
2.3	91	1.8%
7.5	91	1.8%
3.7	90	1.8%
7.4	90	1.8%
7.7	90	1.8%
Other values (55)	4075	81.5%

Value	Count	Frequency (%)
1.6	37	0.7%
1.7	82	1.6%
1.8	64	1.3%
1.9	75	1.5%
2	81	1.6%
2.1	71	1.4%
2.2	69	1.4%
2.3	91	1.8%
2.4	68	1.4%
2.5	79	1.6%

Value	Count	Frequency (%)
8	50	1.0%
7.9	66	1.3%
7.8	83	1.7%
7.7	90	1.8%
7.6	71	1.4%
7.5	91	1.8%
7.4	90	1.8%
7.3	93	1.9%
7.2	78	1.6%
7.1	71	1.4%

Horsepower
Real number (ℝ)

Distinct	1363
Distinct (%)	27.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	822.8916

Minimum	130
Maximum	1521
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.2 KiB

Quantile statistics

Minimum	130
5-th percentile	203
Q1	472
median	815.5
Q3	1176
95-th percentile	1450
Maximum	1521
Range	1391
Interquartile range (IQR)	704

Descriptive statistics

Standard deviation	401.36255
Coefficient of variation (CV)	0.48774656
Kurtosis	-1.2117037
Mean	822.8916
Median Absolute Deviation (MAD)	350.5
Skewness	0.011814728
Sum	4114458
Variance	161091.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1077	12	0.2%
1258	11	0.2%
1310	11	0.2%
211	11	0.2%
1333	11	0.2%
1242	11	0.2%
670	10	0.2%
646	9	0.2%
456	9	0.2%
359	9	0.2%
Other values (1353)	4896	97.9%

Value	Count	Frequency (%)
130	5	0.1%
131	2	< 0.1%
132	4	0.1%
133	2	< 0.1%
134	3	0.1%
135	5	0.1%
136	4	0.1%
137	2	< 0.1%
138	1	< 0.1%
139	3	0.1%

Value	Count	Frequency (%)
1521	3	0.1%
1520	2	< 0.1%
1519	1	< 0.1%
1518	2	< 0.1%
1517	3	0.1%
1516	3	0.1%
1515	3	0.1%
1514	7	0.1%
1513	3	0.1%
1512	7	0.1%

Torque
Real number (ℝ)

Distinct	1561
Distinct (%)	31.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	938.8006

Minimum	120
Maximum	1758
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.2 KiB

Quantile statistics

Minimum	120
5-th percentile	204
Q1	522
median	948
Q3	1345
95-th percentile	1673
Maximum	1758
Range	1638
Interquartile range (IQR)	823

Descriptive statistics

Standard deviation	472.95428
Coefficient of variation (CV)	0.50378566
Kurtosis	-1.2046801
Mean	938.8006
Median Absolute Deviation (MAD)	410
Skewness	-0.0129877
Sum	4694003
Variance	223685.75
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
557	10	0.2%
333	9	0.2%
438	9	0.2%
258	9	0.2%
1621	9	0.2%
911	9	0.2%
544	9	0.2%
469	9	0.2%
149	9	0.2%
1554	8	0.2%
Other values (1551)	4910	98.2%

Value	Count	Frequency (%)
120	2	< 0.1%
121	2	< 0.1%
122	3	0.1%
123	4	0.1%
124	2	< 0.1%
125	7	0.1%
126	2	< 0.1%
127	2	< 0.1%
128	3	0.1%
129	6	0.1%

Value	Count	Frequency (%)
1758	4	0.1%
1757	1	< 0.1%
1756	2	< 0.1%
1755	3	0.1%
1754	5	0.1%
1753	2	< 0.1%
1752	3	0.1%
1751	5	0.1%
1750	7	0.1%
1749	3	0.1%

Weight
Real number (ℝ)

Distinct	1527
Distinct (%)	30.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1689.7242

Minimum	900
Maximum	2499
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.2 KiB

Quantile statistics

Minimum	900
5-th percentile	977.95
Q1	1286
median	1684
Q3	2101
95-th percentile	2418
Maximum	2499
Range	1599
Interquartile range (IQR)	815

Descriptive statistics

Standard deviation	465.78642
Coefficient of variation (CV)	0.27565825
Kurtosis	-1.2175191
Mean	1689.7242
Median Absolute Deviation (MAD)	407
Skewness	0.022238638
Sum	8448621
Variance	216956.99
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1530	10	0.2%
2208	9	0.2%
2433	9	0.2%
1440	9	0.2%
2181	9	0.2%
2444	9	0.2%
1009	9	0.2%
1050	9	0.2%
1816	8	0.2%
1456	8	0.2%
Other values (1517)	4911	98.2%

Value	Count	Frequency (%)
900	1	< 0.1%
901	1	< 0.1%
902	3	0.1%
903	4	0.1%
904	1	< 0.1%
905	7	0.1%
906	2	< 0.1%
907	2	< 0.1%
908	2	< 0.1%
909	7	0.1%

Value	Count	Frequency (%)
2499	3	0.1%
2498	2	< 0.1%
2497	1	< 0.1%
2496	1	< 0.1%
2495	3	0.1%
2494	3	0.1%
2493	6	0.1%
2492	2	< 0.1%
2491	3	0.1%
2489	3	0.1%

Top_Speed
Real number (ℝ)

Distinct	250
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	274.857

Minimum	150
Maximum	399
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.2 KiB

Quantile statistics

Minimum	150
5-th percentile	162
Q1	214
median	275
Q3	337
95-th percentile	386
Maximum	399
Range	249
Interquartile range (IQR)	123

Descriptive statistics

Standard deviation	72.062214
Coefficient of variation (CV)	0.26218075
Kurtosis	-1.1904929
Mean	274.857
Median Absolute Deviation (MAD)	62
Skewness	-0.0072210469
Sum	1374285
Variance	5192.9627
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
173	35	0.7%
230	33	0.7%
301	32	0.6%
299	30	0.6%
255	30	0.6%
335	30	0.6%
157	29	0.6%
383	29	0.6%
378	28	0.6%
242	28	0.6%
Other values (240)	4696	93.9%

Value	Count	Frequency (%)
150	26	0.5%
151	20	0.4%
152	19	0.4%
153	27	0.5%
154	16	0.3%
155	15	0.3%
156	18	0.4%
157	29	0.6%
158	19	0.4%
159	15	0.3%

Value	Count	Frequency (%)
399	17	0.3%
398	17	0.3%
397	22	0.4%
396	25	0.5%
395	24	0.5%
394	16	0.3%
393	20	0.4%
392	17	0.3%
391	13	0.3%
390	8	0.2%

Acceleration_0_100
Real number (ℝ)

Distinct	51
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.51728

Minimum	2
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.2 KiB

Quantile statistics

Minimum	2
5-th percentile	2.3
Q1	3.3
median	4.5
Q3	5.8
95-th percentile	6.8
Maximum	7
Range	5
Interquartile range (IQR)	2.5

Descriptive statistics

Standard deviation	1.4484726
Coefficient of variation (CV)	0.32065151
Kurtosis	-1.1942962
Mean	4.51728
Median Absolute Deviation (MAD)	1.2
Skewness	0.011302362
Sum	22586.4
Variance	2.098073
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.7	127	2.5%
3.9	118	2.4%
4.4	117	2.3%
2.4	117	2.3%
3.4	117	2.3%
4.5	114	2.3%
6.8	114	2.3%
6.9	113	2.3%
4.6	112	2.2%
6	111	2.2%
Other values (41)	3840	76.8%

Value	Count	Frequency (%)
2	35	0.7%
2.1	99	2.0%
2.2	94	1.9%
2.3	104	2.1%
2.4	117	2.3%
2.5	97	1.9%
2.6	103	2.1%
2.7	98	2.0%
2.8	86	1.7%
2.9	87	1.7%

Value	Count	Frequency (%)
7	50	1.0%
6.9	113	2.3%
6.8	114	2.3%
6.7	127	2.5%
6.6	105	2.1%
6.5	97	1.9%
6.4	90	1.8%
6.3	92	1.8%
6.2	95	1.9%
6.1	87	1.7%

Fuel_Type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	271.9 KiB

Petrol	1688
Diesel	1684
Electric	1628

Length

Max length	8
Median length	6
Mean length	6.6512
Min length	6

Characters and Unicode

Total characters	33256
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Diesel
2nd row	Electric
3rd row	Diesel
4th row	Petrol
5th row	Petrol

Common Values

Value	Count	Frequency (%)
Petrol	1688	33.8%
Diesel	1684	33.7%
Electric	1628	32.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
petrol	1688	33.8%
diesel	1684	33.7%
electric	1628	32.6%

Most occurring characters

Value	Count	Frequency (%)
e	6684	20.1%
l	5000	15.0%
t	3316	10.0%
r	3316	10.0%
i	3312	10.0%
c	3256	9.8%
P	1688	5.1%
o	1688	5.1%
D	1684	5.1%
s	1684	5.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	28256	85.0%
Uppercase Letter	5000	15.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6684	23.7%
l	5000	17.7%
t	3316	11.7%
r	3316	11.7%
i	3312	11.7%
c	3256	11.5%
o	1688	6.0%
s	1684	6.0%

Uppercase Letter

Value	Count	Frequency (%)
P	1688	33.8%
D	1684	33.7%
E	1628	32.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	33256	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6684	20.1%
l	5000	15.0%
t	3316	10.0%
r	3316	10.0%
i	3312	10.0%
c	3256	9.8%
P	1688	5.1%
o	1688	5.1%
D	1684	5.1%
s	1684	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33256	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6684	20.1%
l	5000	15.0%
t	3316	10.0%
r	3316	10.0%
i	3312	10.0%
c	3256	9.8%
P	1688	5.1%
o	1688	5.1%
D	1684	5.1%
s	1684	5.1%

Drivetrain
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	254.0 KiB

RWD	1681
AWD	1677
FWD	1642

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	15000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RWD
2nd row	RWD
3rd row	FWD
4th row	RWD
5th row	AWD

Common Values

Value	Count	Frequency (%)
RWD	1681	33.6%
AWD	1677	33.5%
FWD	1642	32.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
rwd	1681	33.6%
awd	1677	33.5%
fwd	1642	32.8%

Most occurring characters

Value	Count	Frequency (%)
W	5000	33.3%
D	5000	33.3%
R	1681	11.2%
A	1677	11.2%
F	1642	10.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	15000	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
W	5000	33.3%
D	5000	33.3%
R	1681	11.2%
A	1677	11.2%
F	1642	10.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
W	5000	33.3%
D	5000	33.3%
R	1681	11.2%
A	1677	11.2%
F	1642	10.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
W	5000	33.3%
D	5000	33.3%
R	1681	11.2%
A	1677	11.2%
F	1642	10.9%

Transmission
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	265.1 KiB

CVT	1267
Automatic	1265
DCT	1237
Manual	1231

Length

Max length	9
Median length	3
Mean length	5.2566
Min length	3

Characters and Unicode

Total characters	26283
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Automatic
2nd row	DCT
3rd row	Automatic
4th row	CVT
5th row	DCT

Common Values

Value	Count	Frequency (%)
CVT	1267	25.3%
Automatic	1265	25.3%
DCT	1237	24.7%
Manual	1231	24.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
cvt	1267	25.3%
automatic	1265	25.3%
dct	1237	24.7%
manual	1231	24.6%

Most occurring characters

Value	Count	Frequency (%)
a	3727	14.2%
t	2530	9.6%
T	2504	9.5%
C	2504	9.5%
u	2496	9.5%
V	1267	4.8%
A	1265	4.8%
o	1265	4.8%
m	1265	4.8%
i	1265	4.8%
Other values (5)	6195	23.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16275	61.9%
Uppercase Letter	10008	38.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	3727	22.9%
t	2530	15.5%
u	2496	15.3%
o	1265	7.8%
m	1265	7.8%
i	1265	7.8%
c	1265	7.8%
n	1231	7.6%
l	1231	7.6%

Uppercase Letter

Value	Count	Frequency (%)
T	2504	25.0%
C	2504	25.0%
V	1267	12.7%
A	1265	12.6%
D	1237	12.4%
M	1231	12.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26283	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	3727	14.2%
t	2530	9.6%
T	2504	9.5%
C	2504	9.5%
u	2496	9.5%
V	1267	4.8%
A	1265	4.8%
o	1265	4.8%
m	1265	4.8%
i	1265	4.8%
Other values (5)	6195	23.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26283	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	3727	14.2%
t	2530	9.6%
T	2504	9.5%
C	2504	9.5%
u	2496	9.5%
V	1267	4.8%
A	1265	4.8%
o	1265	4.8%
m	1265	4.8%
i	1265	4.8%
Other values (5)	6195	23.6%

Fuel_Efficiency
Real number (ℝ)

Distinct	101
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.03834

Minimum	5
Maximum	15
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.2 KiB

Quantile statistics

Minimum	5
5-th percentile	5.5
Q1	7.6
median	10
Q3	12.6
95-th percentile	14.5
Maximum	15
Range	10
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.8816129
Coefficient of variation (CV)	0.2870607
Kurtosis	-1.1893539
Mean	10.03834
Median Absolute Deviation (MAD)	2.5
Skewness	-0.02564631
Sum	50191.7
Variance	8.3036928
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.5	66	1.3%
13.4	65	1.3%
9.2	65	1.3%
13.9	64	1.3%
10.5	64	1.3%
6.1	62	1.2%
13.1	61	1.2%
8.5	60	1.2%
8.2	60	1.2%
9.6	59	1.2%
Other values (91)	4374	87.5%

Value	Count	Frequency (%)
5	34	0.7%
5.1	46	0.9%
5.2	56	1.1%
5.3	50	1.0%
5.4	56	1.1%
5.5	41	0.8%
5.6	45	0.9%
5.7	47	0.9%
5.8	49	1.0%
5.9	46	0.9%

Value	Count	Frequency (%)
15	18	0.4%
14.9	47	0.9%
14.8	58	1.2%
14.7	56	1.1%
14.6	49	1.0%
14.5	37	0.7%
14.4	44	0.9%
14.3	45	0.9%
14.2	55	1.1%
14.1	57	1.1%

CO2_Emissions
Real number (ℝ)

Distinct	350
Distinct (%)	7.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	272.6952

Minimum	100
Maximum	449
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.2 KiB

Quantile statistics

Minimum	100
5-th percentile	117
Q1	186
median	273
Q3	357
95-th percentile	431
Maximum	449
Range	349
Interquartile range (IQR)	171

Descriptive statistics

Standard deviation	100.15425
Coefficient of variation (CV)	0.36727542
Kurtosis	-1.1731007
Mean	272.6952
Median Absolute Deviation (MAD)	85
Skewness	0.019410817
Sum	1363476
Variance	10030.873
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
142	27	0.5%
221	25	0.5%
122	24	0.5%
187	23	0.5%
307	23	0.5%
183	23	0.5%
449	22	0.4%
316	22	0.4%
357	22	0.4%
114	22	0.4%
Other values (340)	4767	95.3%

Value	Count	Frequency (%)
100	8	0.2%
101	20	0.4%
102	15	0.3%
103	18	0.4%
104	12	0.2%
105	14	0.3%
106	8	0.2%
107	10	0.2%
108	14	0.3%
109	17	0.3%

Value	Count	Frequency (%)
449	22	0.4%
448	8	0.2%
447	11	0.2%
446	12	0.2%
445	11	0.2%
444	9	0.2%
443	15	0.3%
442	12	0.2%
441	19	0.4%
440	14	0.3%

Price
Real number (ℝ)

High correlation

Distinct	4969
Distinct (%)	99.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	262067.33

Minimum	20014
Maximum	499991
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.2 KiB

Quantile statistics

Minimum	20014
5-th percentile	43436.7
Q1	143710.75
median	265213.5
Q3	380923.5
95-th percentile	474971.75
Maximum	499991
Range	479977
Interquartile range (IQR)	237212.75

Descriptive statistics

Standard deviation	137678.8
Coefficient of variation (CV)	0.52535661
Kurtosis	-1.1854025
Mean	262067.33
Median Absolute Deviation (MAD)	118623.5
Skewness	-0.039680192
Sum	1.3103366 × 10⁹
Variance	1.8955453 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
125812	2	< 0.1%
34926	2	< 0.1%
216885	2	< 0.1%
197985	2	< 0.1%
471349	2	< 0.1%
196544	2	< 0.1%
322304	2	< 0.1%
218810	2	< 0.1%
105646	2	< 0.1%
92811	2	< 0.1%
Other values (4959)	4980	99.6%

Value	Count	Frequency (%)
20014	1	< 0.1%
20194	1	< 0.1%
20440	1	< 0.1%
20456	1	< 0.1%
20558	1	< 0.1%
20598	1	< 0.1%
20769	1	< 0.1%
20783	1	< 0.1%
20807	1	< 0.1%
20897	1	< 0.1%

Value	Count	Frequency (%)
499991	1	< 0.1%
499961	1	< 0.1%
499706	1	< 0.1%
499674	1	< 0.1%
499462	1	< 0.1%
499390	1	< 0.1%
499369	1	< 0.1%
499357	1	< 0.1%
499311	1	< 0.1%
499256	1	< 0.1%

Mileage
Real number (ℝ)

High correlation

Distinct	4942
Distinct (%)	98.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	126487.02

Minimum	47
Maximum	249956
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.2 KiB

Quantile statistics

Minimum	47
5-th percentile	13905.85
Q1	63809.75
median	126762.5
Q3	190287.5
95-th percentile	238765.2
Maximum	249956
Range	249909
Interquartile range (IQR)	126477.75

Descriptive statistics

Standard deviation	72773.505
Coefficient of variation (CV)	0.57534365
Kurtosis	-1.2315284
Mean	126487.02
Median Absolute Deviation (MAD)	63185.5
Skewness	-0.0098222169
Sum	6.324351 × 10⁸
Variance	5.295983 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
37420	3	0.1%
39680	3	0.1%
206377	2	< 0.1%
213535	2	< 0.1%
137921	2	< 0.1%
49506	2	< 0.1%
246012	2	< 0.1%
27260	2	< 0.1%
79503	2	< 0.1%
194257	2	< 0.1%
Other values (4932)	4978	99.6%

Value	Count	Frequency (%)
47	1	< 0.1%
209	1	< 0.1%
266	1	< 0.1%
268	1	< 0.1%
280	1	< 0.1%
292	1	< 0.1%
352	1	< 0.1%
368	1	< 0.1%
373	1	< 0.1%
507	1	< 0.1%

Value	Count	Frequency (%)
249956	1	< 0.1%
249843	1	< 0.1%
249584	1	< 0.1%
249501	1	< 0.1%
249483	1	< 0.1%
249482	1	< 0.1%
249462	1	< 0.1%
249419	1	< 0.1%
249253	1	< 0.1%
249246	1	< 0.1%

Popularity
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	258.9 KiB

Low	2001
High	1985
Medium	1014

Length

Max length	6
Median length	4
Mean length	4.0054
Min length	3

Characters and Unicode

Total characters	20027
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Low
2nd row	High
3rd row	High
4th row	High
5th row	Low

Common Values

Value	Count	Frequency (%)
Low	2001	40.0%
High	1985	39.7%
Medium	1014	20.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
low	2001	40.0%
high	1985	39.7%
medium	1014	20.3%

Most occurring characters

Value	Count	Frequency (%)
i	2999	15.0%
L	2001	10.0%
w	2001	10.0%
o	2001	10.0%
H	1985	9.9%
g	1985	9.9%
h	1985	9.9%
M	1014	5.1%
e	1014	5.1%
d	1014	5.1%
Other values (2)	2028	10.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15027	75.0%
Uppercase Letter	5000	25.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	2999	20.0%
w	2001	13.3%
o	2001	13.3%
g	1985	13.2%
h	1985	13.2%
e	1014	6.7%
d	1014	6.7%
u	1014	6.7%
m	1014	6.7%

Uppercase Letter

Value	Count	Frequency (%)
L	2001	40.0%
H	1985	39.7%
M	1014	20.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	20027	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	2999	15.0%
L	2001	10.0%
w	2001	10.0%
o	2001	10.0%
H	1985	9.9%
g	1985	9.9%
h	1985	9.9%
M	1014	5.1%
e	1014	5.1%
d	1014	5.1%
Other values (2)	2028	10.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20027	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	2999	15.0%
L	2001	10.0%
w	2001	10.0%
o	2001	10.0%
H	1985	9.9%
g	1985	9.9%
h	1985	9.9%
M	1014	5.1%
e	1014	5.1%
d	1014	5.1%
Other values (2)	2028	10.1%

Safety_Rating
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	244.3 KiB

3	1272
1	1257
4	1248
2	1223

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	1
4th row	2
5th row	3

Common Values

Value	Count	Frequency (%)
3	1272	25.4%
1	1257	25.1%
4	1248	25.0%
2	1223	24.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	1272	25.4%
1	1257	25.1%
4	1248	25.0%
2	1223	24.5%

Most occurring characters

Value	Count	Frequency (%)
3	1272	25.4%
1	1257	25.1%
4	1248	25.0%
2	1223	24.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	1272	25.4%
1	1257	25.1%
4	1248	25.0%
2	1223	24.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	1272	25.4%
1	1257	25.1%
4	1248	25.0%
2	1223	24.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	1272	25.4%
1	1257	25.1%
4	1248	25.0%
2	1223	24.5%

Number_of_Owners
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	244.3 KiB

1	1274
2	1262
3	1258
4	1206

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	2
3rd row	2
4th row	4
5th row	2

Common Values

Value	Count	Frequency (%)
1	1274	25.5%
2	1262	25.2%
3	1258	25.2%
4	1206	24.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	1274	25.5%
2	1262	25.2%
3	1258	25.2%
4	1206	24.1%

Most occurring characters

Value	Count	Frequency (%)
1	1274	25.5%
2	1262	25.2%
3	1258	25.2%
4	1206	24.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1274	25.5%
2	1262	25.2%
3	1258	25.2%
4	1206	24.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	5000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1274	25.5%
2	1262	25.2%
3	1258	25.2%
4	1206	24.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1274	25.5%
2	1262	25.2%
3	1258	25.2%
4	1206	24.1%

Market_Demand
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	260.5 KiB

Low	1704
Medium	1678
High	1618

Length

Max length	6
Median length	4
Mean length	4.3304
Min length	3

Characters and Unicode

Total characters	21652
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Medium
2nd row	Medium
3rd row	Low
4th row	Medium
5th row	Medium

Common Values

Value	Count	Frequency (%)
Low	1704	34.1%
Medium	1678	33.6%
High	1618	32.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
low	1704	34.1%
medium	1678	33.6%
high	1618	32.4%

Most occurring characters

Value	Count	Frequency (%)
i	3296	15.2%
L	1704	7.9%
w	1704	7.9%
o	1704	7.9%
M	1678	7.7%
e	1678	7.7%
d	1678	7.7%
u	1678	7.7%
m	1678	7.7%
H	1618	7.5%
Other values (2)	3236	14.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16652	76.9%
Uppercase Letter	5000	23.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	3296	19.8%
w	1704	10.2%
o	1704	10.2%
e	1678	10.1%
d	1678	10.1%
u	1678	10.1%
m	1678	10.1%
g	1618	9.7%
h	1618	9.7%

Uppercase Letter

Value	Count	Frequency (%)
L	1704	34.1%
M	1678	33.6%
H	1618	32.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	21652	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	3296	15.2%
L	1704	7.9%
w	1704	7.9%
o	1704	7.9%
M	1678	7.7%
e	1678	7.7%
d	1678	7.7%
u	1678	7.7%
m	1678	7.7%
H	1618	7.5%
Other values (2)	3236	14.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21652	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	3296	15.2%
L	1704	7.9%
w	1704	7.9%
o	1704	7.9%
M	1678	7.7%
e	1678	7.7%
d	1678	7.7%
u	1678	7.7%
m	1678	7.7%
H	1618	7.5%
Other values (2)	3236	14.9%

Insurance_Cost
Real number (ℝ)

Distinct	4212
Distinct (%)	84.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7749.8578

Minimum	501
Maximum	14998
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.2 KiB

Quantile statistics

Minimum	501
5-th percentile	1230.7
Q1	4106.75
median	7697.5
Q3	11351.75
95-th percentile	14309.15
Maximum	14998
Range	14497
Interquartile range (IQR)	7245

Descriptive statistics

Standard deviation	4177.7517
Coefficient of variation (CV)	0.53907463
Kurtosis	-1.1957927
Mean	7749.8578
Median Absolute Deviation (MAD)	3613.5
Skewness	0.013682372
Sum	38749289
Variance	17453610
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12599	5	0.1%
12189	4	0.1%
9372	4	0.1%
3003	4	0.1%
7148	4	0.1%
9376	4	0.1%
14260	4	0.1%
5194	4	0.1%
2830	4	0.1%
14989	4	0.1%
Other values (4202)	4959	99.2%

Value	Count	Frequency (%)
501	1	< 0.1%
504	1	< 0.1%
505	1	< 0.1%
506	1	< 0.1%
510	1	< 0.1%
511	1	< 0.1%
513	1	< 0.1%
514	1	< 0.1%
520	1	< 0.1%
521	3	0.1%

Value	Count	Frequency (%)
14998	1	< 0.1%
14993	1	< 0.1%
14991	1	< 0.1%
14989	4	0.1%
14986	1	< 0.1%
14984	1	< 0.1%
14983	2	< 0.1%
14981	1	< 0.1%
14978	1	< 0.1%
14977	1	< 0.1%

Production_Units
Real number (ℝ)

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26496.01

Minimum	50
Maximum	100000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.2 KiB

Quantile statistics

Minimum	50
5-th percentile	200
Q1	1000
median	5000
Q3	20000
95-th percentile	100000
Maximum	100000
Range	99950
Interquartile range (IQR)	19000

Descriptive statistics

Standard deviation	36767.028
Coefficient of variation (CV)	1.3876439
Kurtosis	0.18113412
Mean	26496.01
Median Absolute Deviation (MAD)	4950
Skewness	1.3931137
Sum	1.3248005 × 10⁸
Variance	1.3518143 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
20000	1504	30.1%
5000	1020	20.4%
100000	964	19.3%
1000	793	15.9%
200	474	9.5%
50	245	4.9%

Value	Count	Frequency (%)
50	245	4.9%
200	474	9.5%
1000	793	15.9%
5000	1020	20.4%
20000	1504	30.1%
100000	964	19.3%

Value	Count	Frequency (%)
100000	964	19.3%
20000	1504	30.1%
5000	1020	20.4%
1000	793	15.9%
200	474	9.5%
50	245	4.9%

Log_Price
Real number (ℝ)

High correlation

Distinct	4969
Distinct (%)	99.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.266985

Minimum	9.9042373
Maximum	13.122347
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.2 KiB

Quantile statistics

Minimum	9.9042373
5-th percentile	10.679083
Q1	11.875565
median	12.488294
Q3	12.850356
95-th percentile	13.071013
Maximum	13.122347
Range	3.2181101
Interquartile range (IQR)	0.97479183

Descriptive statistics

Standard deviation	0.74112366
Coefficient of variation (CV)	0.060416122
Kurtosis	0.56247177
Mean	12.266985
Median Absolute Deviation (MAD)	0.42923541
Skewness	-1.1132926
Sum	61334.925
Variance	0.54926428
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11.74255196	2	< 0.1%
10.46101545	2	< 0.1%
12.28712715	2	< 0.1%
12.1959516	2	< 0.1%
13.0633562	2	< 0.1%
12.18864669	2	< 0.1%
12.68325358	2	< 0.1%
12.29596362	2	< 0.1%
11.56785863	2	< 0.1%
11.43833122	2	< 0.1%
Other values (4959)	4980	99.6%

Value	Count	Frequency (%)
9.904237271	1	< 0.1%
9.913190328	1	< 0.1%
9.925297967	1	< 0.1%
9.926080401	1	< 0.1%
9.93105408	1	< 0.1%
9.93299781	1	< 0.1%
9.941264917	1	< 0.1%
9.941938739	1	< 0.1%
9.943092807	1	< 0.1%
9.94740874	1	< 0.1%

Value	Count	Frequency (%)
13.12234738	1	< 0.1%
13.12228737	1	< 0.1%
13.12177721	1	< 0.1%
13.12171317	1	< 0.1%
13.1212888	1	< 0.1%
13.12114464	1	< 0.1%
13.12110258	1	< 0.1%
13.12107855	1	< 0.1%
13.12098643	1	< 0.1%
13.12087627	1	< 0.1%

Log_Mileage
Real number (ℝ)

High correlation

Distinct	4942
Distinct (%)	98.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.449482

Minimum	3.871201
Maximum	12.429044
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.2 KiB

Quantile statistics

Minimum	3.871201
5-th percentile	9.540136
Q1	11.063677
median	11.750078
Q3	12.156297
95-th percentile	12.38324
Maximum	12.429044
Range	8.5578432
Interquartile range (IQR)	1.0926197

Descriptive statistics

Standard deviation	0.97388097
Coefficient of variation (CV)	0.085058954
Kurtosis	5.1391929
Mean	11.449482
Median Absolute Deviation (MAD)	0.48174615
Skewness	-1.891126
Sum	57247.41
Variance	0.94844415
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10.52998732	3	0.1%
10.58862776	3	0.1%
12.23746472	2	< 0.1%
12.27156072	2	< 0.1%
11.83444359	2	< 0.1%
10.80986935	2	< 0.1%
12.41313966	2	< 0.1%
10.21321239	2	< 0.1%
11.28356261	2	< 0.1%
12.17694245	2	< 0.1%
Other values (4932)	4978	99.6%

Value	Count	Frequency (%)
3.871201011	1	< 0.1%
5.347107531	1	< 0.1%
5.587248658	1	< 0.1%
5.59471138	1	< 0.1%
5.638354669	1	< 0.1%
5.680172609	1	< 0.1%
5.866468057	1	< 0.1%
5.910796644	1	< 0.1%
5.924255797	1	< 0.1%
6.230481448	1	< 0.1%

Value	Count	Frequency (%)
12.42904418	1	< 0.1%
12.428592	1	< 0.1%
12.42755482	1	< 0.1%
12.42722221	1	< 0.1%
12.42715006	1	< 0.1%
12.42714606	1	< 0.1%
12.42706589	1	< 0.1%
12.4268935	1	< 0.1%
12.42622774	1	< 0.1%
12.42619965	1	< 0.1%

Modification
Categorical

Missing

Distinct	8
Distinct (%)	0.4%
Missing	3023
Missing (%)	60.5%
Memory size	272.1 KiB

RS	270
Nismo	260
Turbo	250
Supercharged	249
Track Edition	242
Other values (3)	706

Length

Max length	13
Median length	12
Mean length	6.2245827
Min length	2

Characters and Unicode

Total characters	12306
Distinct characters	26
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	V-Spec
2nd row	Nismo
3rd row	V-Spec
4th row	Supercharged
5th row	GT

Common Values

Value	Count	Frequency (%)
RS	270	5.4%
Nismo	260	5.2%
Turbo	250	5.0%
Supercharged	249	5.0%
Track Edition	242	4.8%
V-Spec	239	4.8%
Sport	238	4.8%
GT	229	4.6%
(Missing)	3023	60.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
rs	270	12.2%
nismo	260	11.7%
turbo	250	11.3%
supercharged	249	11.2%
track	242	10.9%
edition	242	10.9%
v-spec	239	10.8%
sport	238	10.7%
gt	229	10.3%

Most occurring characters

Value	Count	Frequency (%)
r	1228	10.0%
S	996	8.1%
o	990	8.0%
i	744	6.0%
e	737	6.0%
c	730	5.9%
p	726	5.9%
T	721	5.9%
u	499	4.1%
a	491	4.0%
Other values (16)	4444	36.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8868	72.1%
Uppercase Letter	2957	24.0%
Space Separator	242	2.0%
Dash Punctuation	239	1.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	1228	13.8%
o	990	11.2%
i	744	8.4%
e	737	8.3%
c	730	8.2%
p	726	8.2%
u	499	5.6%
a	491	5.5%
d	491	5.5%
t	480	5.4%
Other values (7)	1752	19.8%

Uppercase Letter

Value	Count	Frequency (%)
S	996	33.7%
T	721	24.4%
R	270	9.1%
N	260	8.8%
E	242	8.2%
V	239	8.1%
G	229	7.7%

Space Separator

Value	Count	Frequency (%)
	242	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	239	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11825	96.1%
Common	481	3.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	1228	10.4%
S	996	8.4%
o	990	8.4%
i	744	6.3%
e	737	6.2%
c	730	6.2%
p	726	6.1%
T	721	6.1%
u	499	4.2%
a	491	4.2%
Other values (14)	3963	33.5%

Common

Value	Count	Frequency (%)
	242	50.3%
-	239	49.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12306	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	1228	10.0%
S	996	8.1%
o	990	8.0%
i	744	6.0%
e	737	6.0%
c	730	5.9%
p	726	5.9%
T	721	5.9%
u	499	4.1%
a	491	4.0%
Other values (16)	4444	36.1%

Interactions

Correlations

	Acceleration_0_100	Brand	CO2_Emissions	Condition	Country	Drivetrain	Engine_Size	Fuel_Efficiency	Fuel_Type	Horsepower	Insurance_Cost	Log_Mileage	Log_Price	Market_Demand	Mileage	Model	Modification	Number_of_Owners	Popularity	Price	Production_Units	Safety_Rating	Top_Speed	Torque	Transmission	Weight	Year
Acceleration_0_100	1.000	0.015	-0.008	0.000	0.023	0.000	0.021	-0.005	0.019	-0.011	-0.007	0.009	-0.012	0.000	0.009	0.000	0.019	0.000	0.000	-0.012	0.012	0.000	-0.012	-0.018	0.000	0.004	-0.009
Brand	0.015	1.000	0.023	0.028	0.022	0.035	0.000	0.019	0.000	0.008	0.014	0.019	0.000	0.000	0.006	0.000	0.000	0.024	0.085	0.000	0.015	0.017	0.021	0.018	0.000	0.010	0.020
CO2_Emissions	-0.008	0.023	1.000	0.000	0.011	0.018	-0.023	0.015	0.000	0.002	-0.002	-0.017	-0.008	0.004	-0.017	0.013	0.003	0.000	0.000	-0.008	0.011	0.000	0.013	-0.006	0.000	0.003	-0.039
Condition	0.000	0.028	0.000	1.000	0.000	0.000	0.000	0.000	0.019	0.026	0.000	0.194	0.015	0.000	0.193	0.000	0.020	0.000	0.000	0.022	0.000	0.000	0.023	0.019	0.000	0.000	0.123
Country	0.023	0.022	0.011	0.000	1.000	0.000	0.021	0.000	0.009	0.036	0.035	0.033	0.033	0.020	0.023	0.014	0.023	0.000	0.018	0.000	0.023	0.022	0.011	0.027	0.021	0.020	0.000
Drivetrain	0.000	0.035	0.018	0.000	0.000	1.000	0.032	0.000	0.018	0.022	0.000	0.000	0.032	0.007	0.030	0.000	0.027	0.000	0.000	0.027	0.018	0.000	0.024	0.000	0.023	0.018	0.014
Engine_Size	0.021	0.000	-0.023	0.000	0.021	0.032	1.000	-0.007	0.000	-0.001	-0.016	0.011	-0.009	0.000	0.011	0.016	0.000	0.000	0.000	-0.009	-0.001	0.000	0.006	0.012	0.017	-0.004	0.009
Fuel_Efficiency	-0.005	0.019	0.015	0.000	0.000	0.000	-0.007	1.000	0.027	-0.021	-0.028	-0.011	0.012	0.000	-0.011	0.000	0.000	0.016	0.017	0.012	0.021	0.000	-0.001	-0.034	0.000	0.011	0.011
Fuel_Type	0.019	0.000	0.000	0.019	0.009	0.018	0.000	0.027	1.000	0.028	0.025	0.000	0.000	0.000	0.000	0.000	0.017	0.031	0.010	0.015	0.000	0.028	0.000	0.013	0.022	0.000	0.002
Horsepower	-0.011	0.008	0.002	0.026	0.036	0.022	-0.001	-0.021	0.028	1.000	0.003	-0.007	0.007	0.005	-0.007	0.000	0.013	0.000	0.000	0.007	-0.021	0.012	0.017	-0.008	0.000	0.010	0.017
Insurance_Cost	-0.007	0.014	-0.002	0.000	0.035	0.000	-0.016	-0.028	0.025	0.003	1.000	0.020	0.018	0.011	0.020	0.000	0.000	0.000	0.000	0.018	0.005	0.013	-0.009	-0.006	0.019	-0.009	0.014
Log_Mileage	0.009	0.019	-0.017	0.194	0.033	0.000	0.011	-0.011	0.000	-0.007	0.020	1.000	0.009	0.000	1.000	0.016	0.036	0.000	0.000	0.009	0.011	0.027	0.016	0.023	0.021	0.013	-0.004
Log_Price	-0.012	0.000	-0.008	0.015	0.033	0.032	-0.009	0.012	0.000	0.007	0.018	0.009	1.000	0.009	0.009	0.010	0.000	0.000	0.000	1.000	-0.017	0.000	0.029	0.002	0.032	-0.001	-0.012
Market_Demand	0.000	0.000	0.004	0.000	0.020	0.007	0.000	0.000	0.000	0.005	0.011	0.000	0.009	1.000	0.000	0.000	0.000	0.012	0.014	0.000	0.016	0.000	0.000	0.021	0.022	0.036	0.027
Mileage	0.009	0.006	-0.017	0.193	0.023	0.030	0.011	-0.011	0.000	-0.007	0.020	1.000	0.009	0.000	1.000	0.016	0.000	0.000	0.037	0.009	0.011	0.016	0.016	0.023	0.000	0.013	-0.004
Model	0.000	0.000	0.013	0.000	0.014	0.000	0.016	0.000	0.000	0.000	0.000	0.016	0.010	0.000	0.016	1.000	0.036	0.000	0.015	0.007	0.030	0.024	0.000	0.000	0.009	0.000	0.020
Modification	0.019	0.000	0.003	0.020	0.023	0.027	0.000	0.000	0.017	0.013	0.000	0.036	0.000	0.000	0.000	0.036	1.000	0.015	0.015	0.000	0.014	0.016	0.000	0.026	0.053	0.000	0.024
Number_of_Owners	0.000	0.024	0.000	0.000	0.000	0.000	0.000	0.016	0.031	0.000	0.000	0.000	0.000	0.012	0.000	0.000	0.015	1.000	0.000	0.000	0.000	0.000	0.009	0.026	0.009	0.014	0.000
Popularity	0.000	0.085	0.000	0.000	0.018	0.000	0.000	0.017	0.010	0.000	0.000	0.000	0.000	0.014	0.037	0.015	0.015	0.000	1.000	0.000	0.451	0.032	0.020	0.033	0.000	0.014	0.000
Price	-0.012	0.000	-0.008	0.022	0.000	0.027	-0.009	0.012	0.015	0.007	0.018	0.009	1.000	0.000	0.009	0.007	0.000	0.000	0.000	1.000	-0.017	0.000	0.029	0.002	0.028	-0.001	-0.012
Production_Units	0.012	0.015	0.011	0.000	0.023	0.018	-0.001	0.021	0.000	-0.021	0.005	0.011	-0.017	0.016	0.011	0.030	0.014	0.000	0.451	-0.017	1.000	0.009	-0.010	-0.017	0.000	0.001	0.012
Safety_Rating	0.000	0.017	0.000	0.000	0.022	0.000	0.000	0.000	0.028	0.012	0.013	0.027	0.000	0.000	0.016	0.024	0.016	0.000	0.032	0.000	0.009	1.000	0.031	0.000	0.022	0.025	0.000
Top_Speed	-0.012	0.021	0.013	0.023	0.011	0.024	0.006	-0.001	0.000	0.017	-0.009	0.016	0.029	0.000	0.016	0.000	0.000	0.009	0.020	0.029	-0.010	0.031	1.000	0.023	0.005	-0.017	0.011
Torque	-0.018	0.018	-0.006	0.019	0.027	0.000	0.012	-0.034	0.013	-0.008	-0.006	0.023	0.002	0.021	0.023	0.000	0.026	0.026	0.033	0.002	-0.017	0.000	0.023	1.000	0.028	-0.001	-0.014
Transmission	0.000	0.000	0.000	0.000	0.021	0.023	0.017	0.000	0.022	0.000	0.019	0.021	0.032	0.022	0.000	0.009	0.053	0.009	0.000	0.028	0.000	0.022	0.005	0.028	1.000	0.000	0.011
Weight	0.004	0.010	0.003	0.000	0.020	0.018	-0.004	0.011	0.000	0.010	-0.009	0.013	-0.001	0.036	0.013	0.000	0.000	0.014	0.014	-0.001	0.001	0.025	-0.017	-0.001	0.000	1.000	0.001
Year	-0.009	0.020	-0.039	0.123	0.000	0.014	0.009	0.011	0.002	0.017	0.014	-0.004	-0.012	0.027	-0.004	0.020	0.024	0.000	0.000	-0.012	0.012	0.000	0.011	-0.014	0.011	0.001	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	Brand	Model	Year	Country	Condition	Engine_Size	Horsepower	Torque	Weight	Top_Speed	Acceleration_0_100	Fuel_Type	Drivetrain	Transmission	Fuel_Efficiency	CO2_Emissions	Price	Mileage	Popularity	Safety_Rating	Number_of_Owners	Market_Demand	Insurance_Cost	Production_Units	Log_Price	Log_Mileage	Modification
0	Nissan	720S	2006	Asia	used	3.7	420	705	1785	238	5.7	Diesel	RWD	Automatic	10.5	307	81580	96664	Low	2	4	Medium	13410	5000	11.309352	11.479007	V-Spec
1	McLaren	911 Turbo S	2009	Europe	new	5.3	1104	766	992	386	4.6	Electric	RWD	DCT	9.4	113	308455	159630	High	2	2	Medium	10795	1000	12.639334	11.980620	NaN
2	Chevrolet	M4 Competition	2009	USA	new	5.5	153	1573	2022	397	6.7	Diesel	FWD	Automatic	5.0	321	420374	111496	High	1	2	Low	1716	20000	12.948902	11.621753	NaN
3	Bugatti	Chiron	1982	Asia	used	5.4	544	1009	1091	151	2.7	Petrol	RWD	CVT	7.3	343	123690	217228	High	2	4	Medium	11618	20000	11.725542	12.288707	NaN
4	Nissan	Chiron	2022	Europe	new	2.4	980	693	1232	385	3.0	Petrol	AWD	DCT	6.0	246	75303	150318	Low	3	2	Medium	11324	100000	11.229289	11.920515	NaN
5	BMW	GT-R	1986	Europe	new	5.4	1091	632	2135	341	3.4	Petrol	RWD	Automatic	8.2	374	478142	228779	High	2	3	Medium	5274	200	13.077665	12.340516	NaN
6	Porsche	720S	1988	Asia	new	4.2	810	1222	2130	245	2.1	Electric	RWD	CVT	7.4	176	398429	222953	Medium	4	3	Medium	5645	5000	12.895287	12.314721	Nismo
7	Nissan	720S	2020	USA	new	7.4	1189	184	1526	185	6.7	Diesel	RWD	CVT	12.6	207	133803	202882	High	2	4	Medium	12037	50	11.804131	12.220385	V-Spec
8	Chevrolet	Mustang GT	2021	Europe	new	7.4	230	302	1885	245	4.2	Electric	RWD	CVT	10.0	429	245162	47481	Medium	1	2	Low	3899	1000	12.409679	10.768106	NaN
9	Bugatti	DBS	1992	USA	new	6.5	675	1209	1472	382	4.4	Electric	FWD	CVT	13.2	210	451504	101321	Low	3	4	Medium	14850	5000	13.020342	11.526059	NaN

	Brand	Model	Year	Country	Condition	Engine_Size	Horsepower	Torque	Weight	Top_Speed	Acceleration_0_100	Fuel_Type	Drivetrain	Transmission	Fuel_Efficiency	CO2_Emissions	Price	Mileage	Popularity	Safety_Rating	Number_of_Owners	Market_Demand	Insurance_Cost	Production_Units	Log_Price	Log_Mileage	Modification
4990	McLaren	Corvette Z06	1999	Asia	used	3.7	448	500	2314	185	5.4	Electric	RWD	Automatic	12.7	159	38448	148076	High	2	3	Medium	6923	5000	10.557088	11.905488	NaN
4991	Aston Martin	720S	1985	Asia	new	4.0	953	1067	1050	276	3.4	Diesel	FWD	Manual	10.6	268	347601	177068	High	4	4	Medium	13650	200	12.758813	12.084295	Turbo
4992	Bugatti	GT-R	1987	USA	salvage	6.6	680	909	1510	197	6.9	Diesel	FWD	CVT	11.6	151	361963	148049	High	2	2	High	13544	50	12.799300	11.905305	NaN
4993	Nissan	720S	2024	Asia	new	5.1	189	432	2370	323	6.7	Diesel	RWD	CVT	11.0	327	177022	27472	Low	4	4	Medium	13986	5000	12.084035	10.220959	NaN
4994	BMW	Chiron	2013	Europe	used	7.7	1258	983	1440	309	5.0	Electric	AWD	CVT	5.6	347	150056	53691	High	3	4	Low	12474	200	11.918771	10.891019	Nismo
4995	Nissan	GT-R	2011	USA	used	3.9	1392	514	1049	284	3.6	Petrol	RWD	Manual	6.9	431	248562	80352	Low	1	3	Medium	10428	5000	12.423452	11.294185	NaN
4996	McLaren	M4 Competition	2021	USA	new	6.9	256	662	2131	223	6.5	Diesel	FWD	DCT	8.5	135	355477	164451	High	1	3	Low	1134	50	12.781219	12.010374	V-Spec
4997	Bugatti	911 Turbo S	1983	Europe	new	6.3	212	123	2272	289	6.0	Petrol	FWD	DCT	13.9	432	149052	30314	Low	4	1	High	7107	100000	11.912057	10.319398	NaN
4998	Porsche	M4 Competition	2023	Asia	new	7.3	1373	228	1161	204	2.4	Diesel	RWD	DCT	8.5	198	261268	13144	Low	4	2	High	11219	5000	12.473306	9.483797	Turbo
4999	McLaren	Chiron	2018	Europe	new	7.7	1075	1037	1312	381	4.4	Diesel	FWD	Automatic	8.3	168	78239	57970	High	2	3	High	1802	20000	11.267536	10.967698	Sport

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)